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Bandpass Sampling

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

Active Filters

Active Filters

Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:

Passive Filters

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff frequency...

Sampling Continuous Time Signal

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...

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Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

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X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

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Published on: August 20, 2019

Time-gated filter for sideband suppression.

Jason Chou¹, Todd S Rose, Josh A Conway

¹Electronics and Photonics Laboratory, The Aerospace Corporation, El Segundo, CA 90245, USA.

|April 3, 2009

Summary

This summary is machine-generated.

A novel time-gated filter converts double-sideband to single-sideband radio-frequency waveforms. This technology enables photonic time-stretch analog-to-digital converters to digitize signals beyond 100 GHz, overcoming previous limitations.

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Generation and Coherent Control of Pulsed Quantum Frequency Combs

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Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Area of Science:

Photonics
Electrical Engineering
Signal Processing

Background:

Electrical modulation technologies for single-sideband (SSB) waveforms are limited to radio frequencies (RFs) below 20 GHz.
Photonic time-stretch analog-to-digital converters (TS-ADCs) suffer from frequency fading due to dispersion, limiting input signal bandwidth and time aperture.
The presence of both upper and lower sidebands in TS-ADCs exacerbates frequency fading.

Purpose of the Study:

To demonstrate a time-gated filter capable of converting double-sideband (DSB) RF waveforms to SSB waveforms.
To apply this filter in TS-ADCs to mitigate frequency fading and extend the operational RF range.
To show significant reduction in frequency fading and enable digitization of higher frequency signals.

Main Methods:

Development and demonstration of a time-gated filter operating on a pulsed optically chirped carrier.
Integration of the time-gated filter into a photonic time-stretch analog-to-digital converter architecture.
Characterization of the filter's performance in reducing frequency fading and enabling high-frequency signal digitization.

Main Results:

The demonstrated time-gated filter successfully converts DSB RF waveforms to SSB waveforms.
Frequency fading in the TS-ADC was reduced by over 20 dB.
The enhanced TS-ADC successfully digitized electrical signals with RFs exceeding 100 GHz.

Conclusions:

The time-gated filter overcomes the RF limitations of existing SSB modulation technologies.
This filter significantly improves the performance of photonic time-stretch analog-to-digital converters by reducing frequency fading.
The developed system enables high-frequency signal digitization beyond 100 GHz using photonic approaches.